Senior Data Engineer, Rockstar Games

• The ideal candidate will be skilled in developing complex ingestions and transformation processes with an emphasis on reliability and performance
• 5+ years of work experience with designing and development of modern data pipelines
• 4+ years of experience with Python for data engineering (building maintainable, testable code) and Spark for large-scale data processing
• Strong software engineering fundamentals – design patterns, testing strategies (unit, integration) code review practices, system design thinking
• Expert-level SQL and deep understanding of query optimization, data structures, and performance tuning
• Track record of building and optimizing terabyte or petabyte-scale data warehouses
• Ability to work independently on loosely-defined projects – gathering requirements, making architectural decisions, and following through completion
• Experience building Real-Time and/or Near-Real-Time data pipelines
• Outstanding communication and interpersonal skills, including the ability to tailor communication style to technical and non-technical audiences

Desirable

• Rockstar is seeking a Senior Data Engineer to join a team building a cutting-edge game analytics platform and tools to better understand our players and enhance their experience across our titles
• In collaboration with other Data Engineers, Machine Learning Engineers, and Software Engineers, the candidate will empower the team of Analysts and Data Scientists to deliver data driven insights and applications across the company
• This is a full-time, in-office position based out of Rockstar’s NYC headquarters in Downtown Manhattan
• Design, build, and own real-time and batch data pipelines in Azure Databricks using Spark, Airflow, and modern orchestration and build tools
• Drive engineering excellence by implementing robust testing practices (unit, integration), code review standards, and CI/CD automation
• Architect Data Models for massive-scale MPP engines (Databricks/Spark, SQL, Snowflake) that balance performance, maintainability, and analytical flexibility
• Collaborate with Data Scientists, Analysts, and ML Engineers to gather requirements, understand use cases, and deliver reliable data products
• Identify and implement improvements to our data platform, pipelines, and development processes with autonomy to POC new approaches and technologies
• Mentor, elevate, and learn with the team by sharing insights, maintaining documentation, and establishing engineering best practices
• Own projects end-to-end, from gathering requirements and technical design through implementation, testing, and production support

• Please apply with a resume and cover letter demonstrating how you meet the skills above
• If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process